Infrared and Laser Engineering, Volume. 50, Issue 9, 20210094(2021)
Anomaly detection based on deep support vector data description under surveillance scenarios
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Table 1. AUC scores of the anomaly detection results
View tableView in ArticleTable 1. AUC scores of the anomaly detection results
Method Avenue ShanghaiTech Campus Conv-AE[ 15 ]80.0% 60.9% Stacked RNN[ 21 ]81.7% 68.0% Unmasking[ 23 ]80.6% － Davide et al.[ 24 ]－ 72.8% Object-centric auto-encoders[ 25 ]86.5% 78.5% MemAE[ 26 ]83.3% 72.2% New Baseline[ 27 ]85.1% 72.8% Ours 87.4% 74.5%
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Fangli Li. Anomaly detection based on deep support vector data description under surveillance scenarios[J]. Infrared and Laser Engineering, 2021, 50(9): 20210094
Paper Information
Category: Image processing
Received: Feb. 8, 2021
Accepted: --
Published Online: Oct. 28, 2021
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